We adapt notations used by Ye et al. [1]} and Badola et al. [2]}. A dataset, \(D=\lbrace X,Y\rbrace \)  is comprised of instances, \(X\) , and labels, \(Y\) . An instance of \(D\) , \(d=\lbrace x,y\rbrace  \in \lbrace X,Y\rbrace \) , consists of an image, where \(x \in \mathbb {R}^{cXhXw}\) , such that \(c\) , \(h\) , and \(w\)  are image channels, height and width, respectively. \(D\)  can be partitioned in training and test sets (\(D=\lbrace Train,Test\rbrace \) ).
